DocumentCode :
1827710
Title :
Integrated approach to reliable leakage diagnosis
Author :
Doraiswami, R. ; Cheded, Lahouari ; Khalid, Haris M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada
fYear :
2010
fDate :
7-10 Sept. 2010
Firstpage :
1
Lastpage :
6
Abstract :
A generic and reliable diagnosis framework, for incipient leakages is proposed using an integrated approach combining two entirely different model-free (MF) and model-based (MB) schemes. The primary objective of this vital combination is to ensure a timely monitoring of the critical information about the presence/absence of leakages, and an accurate unfolding-in-time of the complete leakage status. Whereas the model-free approach provides the user with the possibility of an early incipient fault detection via limit checks and some form of knowledge-based (KB) analysis, the model-based approach allows for a Kalman filter (KF)-based detection followed by a parameter identification-based fault isolation. As such the MB approach will provide a confirmation of the detection of any fault flagged by the MF approach. A new model order selection scheme is proposed here to provide a reliable model. Two vital advantages accruing from this integrated approach are a substantial reduction in false alarms and an increased probability of leakage detection. The proposed integrated approach is tested on a physical fluid system, exemplified by a benchmarked two-tank system.
Keywords :
Kalman filters; fault location; industrial accidents; parameter estimation; probability; process control; process monitoring; reliability; tanks (containers); KB analysis; KF-based detection; Kalman filter-based detection; MB approach; MF approach; critical information monitoring; early incipient fault detection; false alarm reduction; fault isolation; knowledge-based analysis; leakage detection probability; limit checks; model order selection scheme; model-based schemes; model-free schemes; parameter identification; physical fluid system; reliable leakage diagnosis; two-tank system; Kalman filter; fault diagnosis; knowledge base; leakage fault; parameter identification;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Control 2010, UKACC International Conference on
Conference_Location :
Coventry
Electronic_ISBN :
978-1-84600-038-6
Type :
conf
DOI :
10.1049/ic.2010.0296
Filename :
6490754
Link To Document :
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